{"id":"W2968777423","doi":"10.1016/j.emj.2019.08.004","title":"Does employee welfare affect corporate debt maturity?","year":2019,"lang":"en","type":"article","venue":"European Management Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Endogeneity; Maturity (psychological); Welfare; Debt; Sample (material); Debt ratio; Capital structure; Monetary economics; Economics; Business; Labour economics; Demographic economics; Finance; Econometrics; Market economy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009139615,0.0003133442,0.0002604742,0.0002692412,0.0003456305,0.0008794472,0.0007180168,0.00002976528,0.001448899],"category_scores_gemma":[0.00001681022,0.0002089688,0.0001752166,0.0004782182,0.00003602475,0.001533213,0.0003835541,0.0003697124,0.009615618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004461842,"about_ca_system_score_gemma":0.000006605866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001368251,"about_ca_topic_score_gemma":0.00001211085,"domain_scores_codex":[0.9981474,0.00005399882,0.0004116956,0.0004081472,0.0004912051,0.0004874989],"domain_scores_gemma":[0.998484,0.00000983569,0.0008930919,0.0004632958,0.0001194402,0.00003036095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002009387,0.0001474679,0.8483318,0.0005843145,0.0001979702,0.002630009,0.00003236911,0.0002893555,0.0001343671,0.04606451,0.08249864,0.01888828],"study_design_scores_gemma":[0.0009049278,0.00001833688,0.6097584,0.0001445766,0.00005611275,0.00001374681,0.00006630277,0.00005809232,0.000005010563,0.002101919,0.386567,0.0003054698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6980555,0.00005892608,0.0003993663,0.002086791,0.002761873,0.0003905134,0.000004429601,0.0001868632,0.2960558],"genre_scores_gemma":[0.9790013,0.0001227176,0.0002255296,0.002422703,0.001839687,0.000003073329,0.00001274664,0.00008599647,0.01628629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3040684,"threshold_uncertainty_score":0.9994639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403270296560827,"score_gpt":0.1966407894026902,"score_spread":0.1826080864370819,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}